import CBMSSafetyAlarm import pymysql import datetime import pandas as pd import multiprocessing from LIB.BACKEND import DBManager, Log import time, datetime from apscheduler.schedulers.blocking import BlockingScheduler from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import log #...................................电池包电芯安全诊断函数...................................................................................................................... <<<<<<< HEAD def diag_cal(sn_list, df_bms_ram, df_alarm_ram,now_time): start=time.time() end_time=now_time start_time=now_time-datetime.timedelta(seconds=60) start_time=start_time.strftime('%Y-%m-%d %H:%M:%S') end_time=now_time.strftime('%Y-%m-%d %H:%M:%S') ======= def diag_cal(sn_list, df_bms_ram, df_alarm_ram): start=time.time() now_time=datetime.datetime.now() #-datetime.timedelta(seconds=3600*24+3600*14.6) start_time=now_time-datetime.timedelta(seconds=180) start_time=start_time.strftime('%Y-%m-%d %H:%M:%S') end_time=now_time.strftime('%Y-%m-%d %H:%M:%S') start_time='2021-10-31 09:30:30' end_time='2021-10-31 09:31:30' >>>>>>> master #数据库配置 host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com' port=3306 user='qx_algo_readonly' password = 'qx@123456' #读取故障结果库中code=='C599'且end_time='0000-00-00 00:00:00'............................... db='safety_platform' mysql = pymysql.connect (host=host, port=port, user=user, password=password, database=db) cursor = mysql.cursor() param='start_time,end_time,product_id,code,level,info,advice' tablename='all_fault_info' sql = "select %s from %s where code='C599' and end_time='0000-00-00 00:00:00'" %(param,tablename) cursor.execute(sql) res = cursor.fetchall() df_diag_ram= pd.DataFrame(res,columns=param.split(',')) cursor.close() mysql.close() for sn in sn_list: if 'PK500' in sn: celltype=1 #6040三元电芯 elif 'PK502' in sn: celltype=2 #4840三元电芯 elif 'K504B' in sn: celltype=99 #60ah林磷酸铁锂电芯 elif 'MGMLXN750' in sn: celltype=3 #力信50ah三元电芯 elif 'MGMCLN750' or 'UD' in sn: celltype=4 #CATL 50ah三元电芯 else: print('SN：{}，未找到对应电池类型！！！'.format(sn)) continue # sys.exit() #读取原始数据库数据........................................................................................................................................................ dbManager = DBManager.DBManager() df_data = dbManager.get_data(sn=sn, start_time=start_time, end_time=end_time, data_groups=['bms']) df_bms = df_data['bms'] # print(df_bms) #电池诊断................................................................................................................................................................ df_diag_ram_sn=df_diag_ram[df_diag_ram['product_id']==sn] df_bms_ram_sn=df_bms_ram[df_bms_ram['sn']==sn] df_alarm_ram_sn=df_alarm_ram[df_alarm_ram['sn']==sn] if df_diag_ram_sn.empty: SafetyAlarm=CBMSSafetyAlarm.SafetyAlarm(sn,celltype,df_bms, df_bms_ram_sn, df_alarm_ram_sn) df_diag_res, df_bms_res, df_ram_res=SafetyAlarm.safety_alarm_diag() #更新bms的ram数据 sn_index=df_bms_ram.loc[df_bms_ram['sn']==sn].index df_bms_ram=df_bms_ram.drop(index=sn_index) df_bms_ram=df_bms_ram.append(df_bms_res) sn_index=df_alarm_ram.loc[df_alarm_ram['sn']==sn].index df_alarm_ram=df_alarm_ram.drop(index=sn_index) df_alarm_ram=df_alarm_ram.append(df_ram_res) #当前热失控故障写入数据库 if not df_diag_res.empty: with open(r'D:\Develop\User\Songpengfei\data_analyze_platform\WORK\01qixiang\06BatSafetyAlarm\热失控报警.txt','a') as file: file.write(str(tuple(df_diag_res.iloc[-1]))+'\n') #当前热失控已超过一天变为历史故障并更改数据库 else: fault_time=datetime.datetime.strptime(df_diag_ram_sn.iloc[-1]['start_time'], '%Y-%m-%d %H:%M:%S') if (now_time-fault_time).total_seconds()>24*3600: df_diag_ram_sn['end_time']=end_time df_diag_ram_sn['Batpos']=1 with open(r'D:\Develop\User\Songpengfei\data_analyze_platform\WORK\01qixiang\06BatSafetyAlarm\热失控报警.txt','a') as file: file.write(str(tuple(df_diag_ram_sn.iloc[-1]))+'\n') end=time.time() print(end-start) return df_bms_ram,df_alarm_ram #...................................................主进程........................................................................................................... def mainprocess(): <<<<<<< HEAD global df_bms_ram1, df_bms_ram2, df_alarm_ram1, df_alarm_ram2, SNnums, now_time now_time=now_time+datetime.timedelta(seconds=60) ======= global df_bms_ram1, df_bms_ram2, df_alarm_ram1, df_alarm_ram2, SNnums >>>>>>> master process = 2 pool = multiprocessing.Pool(processes = process) res_list=[] ram_list1=[df_bms_ram1, df_bms_ram2] ram_list2=[df_alarm_ram1, df_alarm_ram1] for i in range(process): sn_list = SNnums[i] df_bms_ram=ram_list1[i] df_alarm_ram=ram_list2[i] <<<<<<< HEAD df_res=pool.apply_async(diag_cal, (sn_list,df_bms_ram,df_alarm_ram,now_time)).get() ======= df_res=pool.apply_async(diag_cal, (sn_list,df_bms_ram,df_alarm_ram)).get() >>>>>>> master res_list.append(df_res) pool.close() pool.join() df_bms_ram1=res_list[0][0] df_bms_ram2=res_list[1][0] df_alarm_ram1=res_list[0][1] df_alarm_ram2=res_list[1][1] #...............................................主函数起定时作用....................................................................................................................... if __name__ == "__main__": <<<<<<< HEAD # excelpath=r'D:\Develop\User\Songpengfei\data_analyze_platform\WORK\01qixiang\sn-20210903.xlsx' # SNdata_6060 = pd.read_excel(excelpath, sheet_name='科易6060') # SNdata_6040 = pd.read_excel(excelpath, sheet_name='科易6040') # SNdata_4840 = pd.read_excel(excelpath, sheet_name='科易4840') # SNdata_L7255 = pd.read_excel(excelpath, sheet_name='格林美-力信7255') # SNdata_C7255 = pd.read_excel(excelpath, sheet_name='格林美-CATL7255') # SNdata_U7255 = pd.read_excel(excelpath, sheet_name='优旦7255') # SNnums_6060=SNdata_6060['SN号'].tolist() # SNnums_6040=SNdata_6040['SN号'].tolist() # SNnums_4840=SNdata_4840['SN号'].tolist() # SNnums_L7255=SNdata_L7255['SN号'].tolist() # SNnums_C7255=SNdata_C7255['SN号'].tolist() # SNnums_U7255=SNdata_U7255['SN号'].tolist() # SNnums=[SNnums_L7255 + SNnums_C7255 + SNnums_U7255 + SNnums_4840, SNnums_6040 + SNnums_6060] SNnums=[['PK504B10100004487'], []] now_time=datetime.datetime.strptime('2022-5-24 19:49:00','%Y-%m-%d %H:%M:%S') ======= excelpath=r'D:\Develop\User\Songpengfei\data_analyze_platform\WORK\01qixiang\sn-20210903.xlsx' SNdata_6060 = pd.read_excel(excelpath, sheet_name='科易6060') SNdata_6040 = pd.read_excel(excelpath, sheet_name='科易6040') SNdata_4840 = pd.read_excel(excelpath, sheet_name='科易4840') SNdata_L7255 = pd.read_excel(excelpath, sheet_name='格林美-力信7255') SNdata_C7255 = pd.read_excel(excelpath, sheet_name='格林美-CATL7255') SNdata_U7255 = pd.read_excel(excelpath, sheet_name='优旦7255') SNnums_6060=SNdata_6060['SN号'].tolist() SNnums_6040=SNdata_6040['SN号'].tolist() SNnums_4840=SNdata_4840['SN号'].tolist() SNnums_L7255=SNdata_L7255['SN号'].tolist() SNnums_C7255=SNdata_C7255['SN号'].tolist() SNnums_U7255=SNdata_U7255['SN号'].tolist() SNnums=[SNnums_L7255 + SNnums_C7255 + SNnums_U7255 + SNnums_4840, SNnums_6040 + SNnums_6060] SNnums=[['MGMCLN750N215N049','PK504B10100004328'], ['PK500A20100000752','PK504B10100004387']] >>>>>>> master mylog=log.Mylog('log_diag.txt','error') mylog.logcfg() #参数初始化 df_bms_ram1=pd.DataFrame(columns=['time', 'sn', 'packvolt', 'cellvolt', 'celltemp']) df_bms_ram2=pd.DataFrame(columns=['time', 'sn', 'packvolt', 'cellvolt', 'celltemp']) df_alarm_ram1=pd.DataFrame(columns=['sn','time','safetywarning1','safetywarning2']) df_alarm_ram2=pd.DataFrame(columns=['sn','time','safetywarning1','safetywarning2']) mainprocess() #定时任务....................................................................................................................................................................... scheduler = BlockingScheduler() <<<<<<< HEAD scheduler.add_job(mainprocess, 'interval', seconds=0.1, id='diag_job') ======= scheduler.add_job(mainprocess, 'interval', seconds=180, id='diag_job') >>>>>>> master try: scheduler.start() except Exception as e: scheduler.shutdown() print(repr(e)) mylog.logopt(e)